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Data Futurology

About This Show

Show Info:

Data Futurology is data from a human lens.
In Data Futurology, experienced Data Science Leaders from around the world tell us their stories, challenges and the lessons learned throughout their career.
We also ask them:
- What makes a great data scientist? What skills are required?
- How to become a great data science leader?
- How should I grow and get the most out of my team?
- What is a good data strategy? and how do I best implement it?
- What are interesting applications of ML/AI that I should be considering in my industry?
To find out more visit www.datafuturology.com.Read more »

Data Futurology is data from a human lens.
In Data Futurology, experienced Data Science Leaders from around the world tell us their stories, challenges and the lessons learned throughout their career.
We also ask them:
- What makes a great data scientist? What skills are required?
- How to become a great data science leader?
- How should I grow and get the most out of my team?
- What is a good data strategy? and how do I best implement it?
- What are interesting applications of ML/AI that I should be considering in my industry?
To find out more visit www.datafuturology.com.Read Less

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Most Recent Episode

#33 Graeme McDermott - Chief Data Officer

7 days ago
·
63 minutes

Graeme started in actuarial science and developed a love for algorithms and automation. He worked in data warehousing before moving into data analytics. He spent 16 years in several Head of Data roles at The Automobile Association (AA) before joining Addison Lee as their Chief Data Officer, where he is today.
We speak about:
* What is actuarial science
* Data warehousing & GIS systems
* Overview of the Chief Data Officer role
* Automation in the data space
* How to build a data warehouse
* The difference between a data warehouse, data lake and virtual data warehouse
* Starting data work with business problems/questions
* How to deliver value to the business
* Balancing tactical project delivery with strategic work
* Enabling self service data analytics
* Prioritising & sizing up work
* Modern styles of work in data
* Data governance: creating a plan
* Creating a data strategy
* How to get to a head of role
* Team building
* Networking
Show notes: www.datafuturology.com/podcast/33
Graeme is based in London, Greater London, United Kingdom
And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. It really helps new data scientists find us. Thank you so much, and enjoy the show!

Graeme started in actuarial science and developed a love for algorithms and automation. He worked in data warehousing before moving into data analytics. He spent 16 years in several Head of Data roles at The Automobile Association (AA) before joining Addison Lee as their Chief Data Officer, where he is today.
We speak about:
* What is actuarial science
* Data warehousing & GIS systems
* Overview of the Chief Data Officer role
* Automation in the data space
* How to build a data warehouse
* The difference between a data warehouse, data lake and virtual data warehouse
* Starting data work with business problems/questions
* How to deliver value to the business
* Balancing tactical project delivery with strategic work
* Enabling self service data analytics
* Prioritising & sizing up work
* Modern styles of work in data
* Data governance: creating a plan
* Creating a data strategy
* How to get to a head of role
* Team building
* Networking
Show notes: www.datafuturology.com/podcast/33
Graeme is based in London, Greater London, United Kingdom
And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. It really helps new data scientists find us. Thank you so much, and enjoy the show!